Related references
Note: Only part of the references are listed.Towards missing electric power data imputation for energy management systems
Ming-Chang Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Missing value imputation: a review and analysis of the literature (2006-2017)
Wei-Chao Lin et al.
ARTIFICIAL INTELLIGENCE REVIEW (2020)
Missing data imputation of high-resolution temporal climate time series data
E. Afrifa-Yamoah et al.
METEOROLOGICAL APPLICATIONS (2020)
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen et al.
NATURE METHODS (2020)
A novel, data-driven heuristic framework for vessel weather routing
Christos Gkerekos et al.
OCEAN ENGINEERING (2020)
Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation
Seungwon Jung et al.
SENSORS (2020)
Improving maritime traffic emission estimations on missing data with CRBMs
Alberto Gutierrez-Torre et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Predicting the Future Capacity and Dimensions of Container Ships
Javier Garrido et al.
TRANSPORTATION RESEARCH RECORD (2020)
Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study
Christian Velasco-Gallego et al.
OCEAN ENGINEERING (2020)
A bagging algorithm for the imputation of missing values in time series
Agung Andiojaya et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Iraklis Lazakis et al.
SHIPS AND OFFSHORE STRUCTURES (2019)
A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems
Michail Cheliotis et al.
OCEAN ENGINEERING (2019)
REGRESSION FORMULAS FOR THE ESTIMATION OF ENGINE TOTAL POWER FOR TANKERS, CONTAINER SHIPS AND BULK CARRIERS ON THE BASIS OF CARGO CAPACITY AND DESIGN SPEED
Tomasz Cepowski
POLISH MARITIME RESEARCH (2019)
Tendency toward Mega Containerships and the Constraints of Container Terminals
Nam Kyu Park et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2019)
Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network
Samet Gurgen et al.
SHIPS AND OFFSHORE STRUCTURES (2018)
A novel systematic methodology for ship propulsion engines energy management
Konstantinos-Marios Tsitsilonis et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Maritime pattern extraction and route reconstruction from incomplete AIS data
Andrej Dobrkovic et al.
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS (2018)
The impact of domain knowledge on the effectiveness of requirements engineering activities
Ali Niknafs et al.
EMPIRICAL SOFTWARE ENGINEERING (2017)
Learning-Based Adaptive Imputation Method with kNN Algorithm for Missing Power Data
Minkyung Kim et al.
ENERGIES (2017)
Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows
T. Heckmann et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2014)
Inference of Single Vessel Behaviour with Incomplete Satellite-based AIS Data
Changqing Liu et al.
JOURNAL OF NAVIGATION (2013)
Design of inferential sensors in the process industry: A review of Bayesian methods
Shima Khatibisepehr et al.
JOURNAL OF PROCESS CONTROL (2013)
Treatment of missing values in process data analysis
S. A. Imtiaz et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2008)
Share Paper
